#1Damon Bankston

RB·New Mexico·2025

Damon Bankston is a Pass-Catching Back for New Mexico. Damon's 2025 season ranks in the 83th percentile nationally by opponent-adjusted EPA per play across 154 plays — a above-average rate for the RB.

What projects, and what doesn't · RBs · held out 2019-2025

How well one season predicts the next, measured on seasons the model never trained on. 1.00 would be perfectly predictable; 0.00 means last year told us nothing.

Usage share (volume)0.52
Beats guessing the RB average by 18%. n=4,219 RB seasons
EPA per play (efficiency)0.10
Not projectable — we do not forecast this. n=3,575 RB seasons
Total EPA (value)0.41
Beats guessing the RB average by 9%. n=3,575 RB seasons

Across all positions, usage carries year to year at 0.47 and efficiency at 0.07. So Damon Bankston's projection is a projection of opportunity — how much of the offense he runs through. How well he converts it is something this model does not claim to know a year in advance, and the number above is why.

2025 Production

Rushing

635 Rush yards5 Rush TD114 Carries5.6 Yards/carry

Receiving

31 Receptions397 Rec yards3 Rec TD12.8 Yards/rec

Returns

12 Kick returns434 KR yards2 KR TD

Performance Analysis · 2025 · vs RB peers

Efficiency83
Volume52
Explosiveness52
Consistency60
Receiving97

Player type

Pass-Catching Back

Third-down weapon out of the backfield. Routes, hands, and separation in coverage define this role as much as rushing.

3rd-down backReceiving threatPass protection

Peer percentiles

Opponent-adjusted EPA (WEPA/play)83th %ile · above avg

Game-to-game consistency60th %ile · average

Key findings

▸Above-average efficiency for the RB position (83th percentile).
▸4 high-impact games (EPA/play > 0.4) this season — elite ceiling.
▸Particularly dangerous on passing downs — efficiency spikes in obvious pass situations.
▸Production faded as the season progressed — 0.20 EPA/play decline from first to second half.
▸Peak game: 0.77 EPA/play in Wk 10 vs UNLV (SP+ 4).

NIL Market Tier· 2025

On3 valuation ↗

Star

Top-10 nationally. Multiple mid-to-large collective deals expected.

Tier is a model estimate based on position, school brand, performance rank, and usage — not a reported deal. NIL deals are private. For a real market valuation, see On3's NIL profile, which factors in social following and actual deal tracking.

Historical Comparables · RB · efficiency + volume + value

Players from 2013–2025 matched on EPA efficiency, play volume, and adjusted value tier — not just one metric.

Player	Team	Yr	Plays	WEPA/play	Line val	Total EPA
Saquon Barkley	Penn State	2016	288	0.340	3.9	97.9
Travis Etienne	Clemson	2019	213	0.470	4.7	100.1
Dalvin Cook	Florida State	2016	292	0.340	4.3	99.3
James Flanders	Tulsa	2016	266	0.390	4.9	103.7
Breece Hall	Iowa State	2020	301	0.340	4.5	102.3

Comps are statistical — efficiency, volume, and value tier all factor in. Style and conference context differ.

Game Log · box score + EPA, week by week

EPA per play · x-axis: weekabove 0 = added points · below = lost

Wk	Opponent	Result	Opp SP+	Car	Rush Yds	Avg	Rush TD	Rec	Rec Yds	Rec TD	EPA/play
1	@Michigan	L17-34	12.4	4	18	4.5	0	4	21	0	0.14
2	vsIdaho State	W32-22	—	6	28	4.7	1	1	55	0	0.67
3	@UCLA	W35-10	-8.7	15	154	10.3	1	3	49	1	0.60
5	vsNew Mexico State	W38-20	-15.5	9	38	4.2	0	2	8	0	-0.10
6	@San José State	L28-35	-14.3	9	51	5.7	1	2	15	0	0.56
7	@Boise State	L25-41	3.1	9	18	2.0	0	2	52	0	0.28
8	vsNevada	W24-22	-13.4	6	19	3.2	0	—	—	—	0.04
9	vsUtah State	W33-14	-3.1	13	84	6.5	1	1	1	0	0.07
10	@UNLV	W40-35	4.3	4	8	2.0	0	5	122	2	0.77
12	vsColorado State	W20-17	-15.6	9	43	4.8	0	2	16	0	-0.37
13	@Air Force	W20-3	-3.2	10	61	6.1	1	3	27	0	0.33
14	vsSan Diego State	W23-17	6.7	10	56	5.6	0	1	8	0	0.00
20	vsMinnesota	L17-20	1.5	10	57	5.7	0	5	23	0	—

Usage & Situational · Pro

Snap-share proxy

Overall

18.1%

Passing plays

9.7%

Rushing plays

26.2%

Standard downs

18.9%

Passing downs

16.3%

EPA by down type

Standard downs: 0.14
Passing downs: 0.58
Pass / Rush EPA: 0.73 / 0.11

Usage = share of team plays (CFBD has no true snap counts).